This library provides Keras implementations of Oxford’s VGGFace face recognition models, including VGG16, ResNet50, and SENet50 architectures. The models are converted from original Caffe networks and support feature extraction. Users can load pre-trained models with VGGFace() or extract intermediate features with include_top=False, and weights are automatically downloaded on first use.